Machine Learning with Mahout Certification Training by Edureka by Edureka: Fee, Duration, How to Apply

Quick Facts

particular	details
Medium of instructions English	Mode of learning Self study	Mode of Delivery Video and Text Based

Course overview

The course provided by Edureka in Machine Learning with Mahout Certification Training will help the participants lay a strong foundation for themselves in the study of fundamental machine learning techniques which consists of a broad range of algorithms of k-means clustering, Support Vector Machines, Mahout on Amazon EMR and Hadoop, Collaborative filtering to recommendation system as well as Random Forests.

Since in the current digital market there has been an exponential increase in the amount of data available, the markets are in demand of professionals who can turn vast amounts of data into reliable and useful information, without taking a lot of time.

This course will help the candidates master skills that are demandable in the market of today by providing training through various efficient study materials. Expert guidelines will also be granted to the students for clarifying queries as soon as they arise. This course covers basic education about Java and Hadoop, so even freshers are welcome to apply.

Course and certificate fees

Fees information

₹ 8,009 ₹8,899

Following are the details of Machine Learning with Mahout Certification Training fee :

Fee Components	Amount
Course Fee	Rs. 8,899
Discounted Fee	Rs. 8,009

* No Cost EMI starts at Rs. 2,670 / month

certificate availability

Yes

certificate providing authority

Edureka

Who it is for

Software developer Architect Statistician Data scientist Business analyst

The programme of Machine Learning with Mahout Certification Training is beneficial for:

Candidates venturing into the field of analytics
Data scientists who want to improve in their skills of machine learning
Candidates working in the fields of software development and architecture as software developer.
Candidates who work as business analysts and want to learn Mahout for the purpose of ML implementation
Candidates who want education about machine learning to work in the field of statistics
Professionals who already have some training in Python, R, Matlab, etc

Eligibility criteria

Certification Qualifying Details

The candidates who are successful in completing this course will gain a Machine Learning with Mahout Certification Training by Edureka.

What you will learn

Machine learning

The candidates will be exposed to the following learning outcomes after learning the Machine Learning with Mahout Certification Training syllabus:

They will gain an insight into various techniques of Machine Learning.
They will be able to understand algorithms of Naive Bayes, Random Forests, SVM, etc.
They will learn their implementations using 'Apache Mahout'
They will learn about the recommendation system
They will become familiar with collaborative filtering, clustering, and categorization
They will be able to analyse Big Data with the help of Hadoop and Mahout
They will learn how to Implement a recommender with MapReduce
They will be introduced to tools such as Weka, SAS, Octave, and Matlab

The syllabus

Introduction to Machine Learning and Apache Mahout

Machine Learning Fundamentals
Apache Mahout Basics
History of Mahout
Supervised and Unsupervised Learning techniques
Mahout and Hadoop
Introduction to Clustering
Classification

Mahout and Hadoop

Mahout on Apache Hadoop setup,
Mahout and Myrrix

Recommendation Engine

Recommendations using Mahout
Introduction to Recommendation systems
Content Based (Collaborative filtering, User based, Nearest N Users
Threshold,
Item based
Mahout Optimizations.

Implementing a recommender and recommendation platform

Euclidean Distance
Platforms: Similarity Measures
Likelihood Similarity
Cosine Similarity
Manhattan Distance
Item based Recommendation
Pearson's Correlation Similarity
Tanimoto
User Neighbourhood
Evaluating Recommendation Engines (Online and Offline)
User based recommendation
Recommenders in Production.
Implementing a Recommender using MapReduce

Clustering

Common Clustering Algorithms
Vectorization
Canopy Clustering
K-means
Representing Data
Feature Selection
TF-IDF
Representing Vectors
Clustering
Clustering documents through example
Classification
Fuzzy K-means and Mean Shift etc.
Implementing clustering in Hadoop

Classification

Basics
Naive Bayes
SVM
SGD
Predictor variables and Target variables
Examples
Common Algorithms
Training and evaluating a Classifier
Developing a Classifier
Random Forests

Mahout and Amazon EMR

Mahout on Amazon EMR
Introduction to tools like Weka, Octave, Matlab, SAS.
Mahout Vs R

Project

Learn to build an intelligent application by using Mahout and Hadoop

Admission details

Aspirants who seek admission in the Machine Learning with Mahout Certification Training classes programme shall go through the steps mentioned below:

Step 1: Visit the homepage of the course, which can be browsed with the following link:

https://www.edureka.co/mahout-self-paced

Step 2: The candidates can find the option of ‘Enroll Now’ after scrolling a bit. Click on it to select your batch and proceed forward.

Step 3: Apply any coupon that you might have. If not, continue to the payments page. Pay securely and complete the admission process.

How it helps

The Machine Learning with Mahout Certification Training benefits by bringing ample amounts of benefits to the candidates taking this course. There has been an increase in data available today which opens the need for professionals that can successfully convert this big data into useful information for various purposes, including building intelligent applications.

The candidates applying to this course will be trained to process a large number of personal emails or messages and will be made familiar with tools that are used to organize and enhance the data provided. The certification provided is attractive to a lot of hirers in need. The course comprises self-learning topics that are self-directed and can be assessed by the participants according to their ease.

The structured training process will help the candidates to review their progress as well as their mistakes, leaving little scope for the candidates to repeat those mistakes again. This will not only help the participants to excel in this course and obtain the certification but will also help them mold themselves into efficient Mahout and Hadoop professionals that will be an asset to society.

Candidates can apply to this course to start their careers or improve their skills. They can also learn to improve their existing employment chances and open the gates for higher pay.

FAQs

What are the modes of payment?

The candidates can choose to pay by Credit or Debit cards or by Netbanking. CCAvenuePayment Gateway is used for payments by Edureka. For USD payments, Paypal can be used.

Give some pre-requisites of this Machine Learning with Mahout Certification Training online course?

No previous knowledge is required as such, however, basic knowledge about Java and Hadoop can be proved to be useful.

What is the procedure for retaking a class?

In case the candidates missed one class, they can watch the recorded lecture again, flexible to their time tables. If the candidate wishes to learn live, he/she can attend the lecture when it is given to the next batch.

Who should I contact in case of queries?

The support team of Edureka is here to help all the candidates no matter what time it is. The support is granted 24x7. All the queries related to the course can be asked and answered within no time.

When will I get access to the study materials?

Easy access to PPTs, Assignments, PDFs and previous class recordings will be granted to the students as soon as they finish the payment process. Expert support will also be extended to the students to help them solve their doubts.

How will I experience hands-on learning?

For practical projects, the candidates will be instructed on how to set up Edureka’s Virtual Machine on their devices. The guide to installation is mentioned in the LMS.

How will Edureka provide me with placement support?

The candidates are provided with a tool to build resumes included in their LMS. It just requires 3 steps to build a resume. There are a lot of templates to choose from across diverse occupations and designations. You can create your own resume by logging in to your LMS and clicking on ‘create your resume’.